{"uid":"cap_c-nrs412q4RibkGmCrSy-","slug":"render-jobs-string-normalisation-numeric-interval-filter-8a82494d","name":"Render Jobs — String Normalisation + Numeric Interval Filter","description":"Render jobs — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied render jobs records (render_seconds, sample_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-02-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["render_seconds","sample_count"],"type":"string","default":"render_seconds"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_H_gQktgISsc0Nn9Oy-FWw","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalises string fields and filters render job records by a numeric interval (min/max) on render_seconds or sample_count, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 render job rows with asset_group, render_seconds, and sample_count — can you normalize the string fields and filter to only rows where render_seconds is between 5 and 120, then give me the two analytical reports?","exampleUseCases":[{"title":"Filter render jobs by render time","prompt":"I've got a batch of render job records and I need to isolate only the ones where render_seconds falls between 10 and 300. Can you normalize the string fields and give me the two reports on those filtered rows?"},{"title":"Clean asset group strings with sample count filter","prompt":"My render jobs dataset has inconsistent asset_group naming. Can you normalize those strings and also filter out any rows where sample_count is outside the range of 1 to 500, then return the two analytical reports?"},{"title":"Studio pipeline data quality check","prompt":"Before I process this batch of 80 render job records, can you normalize all the string fields and apply an interval filter on render_seconds keeping only values between 0 and 60, so I can audit the in-range jobs with the two reports?"}],"resultDescription":"Returns 2 independent analytical reports covering the supplied render job rows (up to 200): one for string normalisation results and one for numeric interval filtering on the chosen field (render_seconds or sample_count), including which rows pass the min/max threshold.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — rejected with max-items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 — schema rejection","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — validation error","minimum greater than maximum — may return empty filter results","Non-numeric values passed for render_seconds or sample_count — type error"],"whenToPreferThis":"Choose this endpoint when you have render job records (with render_seconds and sample_count) and need both string normalisation and numeric range filtering in a single call, receiving two structured analytical reports for up to 200 rows. Prefer it over generic data tools when working within a creative/3D rendering pipeline context and when a low flat-rate ($0.01 USDC for 2 reports) matters. Not suitable for real-time lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:39.535Z","isFirstParty":false,"canonicalSlug":"render-jobs-string-normalisation-numeric-interval-filter-8a82494d"}